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Optimal dome design considering member-related design constraints

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5, Pages 1150-1170 doi: 10.1007/s11709-019-0543-5

Abstract: This study proposes to optimize the design of geometrically nonlinear dome structures.American Petroleum Institute specification is employed to optimize the design of ellipse and sphere-shaped domeMoreover, the inclusion of shape-related design variables leads to a decrease in both the weights of domethe proposed optimal design procedure increases the correctness degree in the evaluation of optimal domePAGA is recommended as an optimization tool for the design optimization of geometrically nonlinear dome

Keywords： dome structure geometric nonlinearity multi-objective optimization API RP2A-LRFD

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: Steel dome structures, with their striking structural forms, take a place among the impressive and aestheticIn this paper, the seismic design optimization of spatial steel dome structures is achieved through threeThe optimum spatial steel dome designs achieved by proposed WS, GW, and BSO algorithms are compared with

Keywords： steel dome optimization water strider algorithm grey wolf algorithm brain storm optimization algorithm

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Influence of pore structure on biologically activated carbon performance and biofilm microbial characteristics

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1419-1

Abstract:

• Pore structure affects biologically activated carbon performance.

Keywords： Granular activated carbon Biologically activated carbon filter Bacterial community structure Porestructure

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Hierarchical fractal structure of perfect single-layer graphene

T. Zhang, K. Ding

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4, Pages 371-382 doi: 10.1007/s11465-013-0279-1

Abstract:

The atomic lattice structure of perfect single-layer graphene that can actually be regarded as a kindof hierarchical fractal structure from the perspective of fractal geometry was studied for the firstThree novel and special discoveries on hierarchical fractal structure and sets were unveiled upon examinationThe interior fractal-type structure was discovered to be the fifth space-filling curve from physicalA fundamental example of a multi-fractal structure was also presented.

Keywords： hierarchical fractal structure fractal dimension the fifth space-filling curve multi-fractal structure

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Floating forest: A novel breakwater-windbreak structure against wind and wave hazards

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5, Pages 1111-1127 doi: 10.1007/s11709-021-0757-1

Abstract: A novel floating breakwater-windbreak structure (floating forest) has been designed for the protectionThe modular arch-shaped concrete structure is positioned perpendicularly to the direction of the prevailingThe structure below the water surface acts as a porous breakwater with wave scattering capability.

Keywords： floating structure breakwater windbreak hydrodynamic CFD

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Bicontinuous porous membranes with micro-nano composite structure using a facile atomization-assisted

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 8, Pages 1268-1280 doi: 10.1007/s11705-022-2143-5

Abstract: The micro-nano composite structure can endow separation membranes with special surface properties, butusing this method, a bicontinuous porous microfiltration membrane with robust micro-nano composite structureThe formation mechanism of the micro-nano composite structure was proposed.

Keywords： atomization nonsolvent induced phase separation bicontinuous porous structure micro-nano compositestructure oil-water separation

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Smart optical-fiber structure monitoring based on granular computing

Guan LU, Dakai LIANG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4, Pages 462-465 doi: 10.1007/s11465-009-0073-2

Abstract: self-diagnosing system in health monitoring has become an important direction of smart materials and structurethe requirement of damage detection by analyzing digital signals and character signals of the smart structurepaper investigates an optic fiber smart layer and presents a method for realizing optic fiber smart structureAfter the analysis, it is presumed that optic fiber smart structure monitoring based on granular computation

Keywords： smart material and structure GrC optical fiber sensor rough set clustering algorithm

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure infrastructures visual inspection convolutional neural network artificial intelligence

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Catalyst particle shapes and pore structure engineering for hydrodesulfurization and hydrodenitrogenation

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6, Pages 897-908 doi: 10.1007/s11705-021-2127-x

Abstract: Catalyst particle shapes and pore structure engineering are crucial for alleviating internal diffusion

Keywords： hydrodesulfurization hydrodenitrogenation particle shape pore structure

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Vibration analysis of blade-disc coupled structure of compressor

WANG Chunjie, SONG Shunguang, ZONG Xiao

Frontiers in Energy 2008, Volume 2, Issue 3, Pages 302-305 doi: 10.1007/s11708-008-0064-8

Abstract: While a 3D assembly model of blade-disc structure was established, a finite element model for calculatingThe vibration characteristics of the blade-disc coupling structure was calculated and analyzed usingThe modeling experiment shows that this method is feasible for analyzing the rabbet assembly structure

Keywords： blade-disc coupling assembly experiment vibration blade-disc structure

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Construction of digital 3D magic-cube organization structure for innovation-driven manufacturing

Frontiers of Engineering Management Pages 373-390 doi: 10.1007/s42524-022-0237-x

Abstract: This study proposes a three-dimensional (3D) magic-cube organizational structure, considering the product

Keywords： innovation manufacturing 3D magic-cube organization structure coordination

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PID neural network control of a membrane structure inflation system

Qiushuang LIU, Xiaoli XU

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4, Pages 418-422 doi: 10.1007/s11465-010-0117-7

Abstract: The PID controller is used to control a nonlinear time-variant membrane structure inflation system.Results show that the neural network PID controller can adapt to the changes in system structure parameters

Keywords： PID neural network membrane structure

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Modeling of specific structure crystallization coupling with dissolution

Yuanhui JI, Hongliang QIAN, Chang LIU, Xiaohua LU, Xin FENG, Xiaoyan JI,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 1, Pages 52-56 doi: 10.1007/s11705-009-0301-7

Abstract: In this paper, the research framework for specific structure crystallization modeling has been proposedOur investigations show that the mechanisms of complex structure formation and microphase transitionformation mechanism of the porous KCl has been analyzed, which may provide a reference for the porous structure

Keywords： structure crystallization activity coefficient reference KCl dissolution

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An efficient method for the dynamic interaction of open structure-foundation systems

LIU Jingbo, GU Yin, LI Bin, WANG Yan

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3, Pages 340-345 doi: 10.1007/s11709-007-0045-8

Abstract: The structure-foundation system is transformed from an original open system into an approximately hermeticThis procedure is highly efficient in analyzing dynamic structure-foundation interaction problems ina wave source problem in 2-dimensions (2-D) elastic semi-infinite space, and the other is a dynamic structure-foundationThe results also indicate that the proposed method is more advantageous for solving large structure-foundation

Keywords： structure-foundation interaction superposition interaction problem freedom efficient

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Design and applications of morphing aircraft and their structures

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0750-6

Abstract: Morphing aircraft can adaptively regulate their aerodynamic layout to meet the demands of varying flight conditions, improve their aerodynamic efficiency, and reduce their energy consumption. The design and fabrication of high-performance, lightweight, and intelligent morphing structures have become a hot topic in advanced aircraft design. This paper discusses morphing aircraft development history, structural characteristics, existing applications, and future prospects. First, some conventional mechanical morphing aircraft are examined with focus on their morphing modes, mechanisms, advantages, and disadvantages. Second, the novel applications of several technologies for morphing unmanned aerial vehicles, including additive manufacturing for fabricating complex morphing structures, lattice technology for reducing structural weight, and multi-mode morphing combined with flexible skins and foldable structures, are summarized and categorized. Moreover, in consideration of the further development of active morphing aircraft, the paper reviews morphing structures driven by smart material actuators, such as shape memory alloy and macro-fiber composites, and analyzes their advantages and limitations. Third, the paper discusses multiple challenges, including flexible structures, flexible skins, and control systems, in the design of future morphing aircraft. Lastly, the development and application of morphing structures in the aerospace field are discussed to provide a reference for future research and engineering applications.

Keywords： morphing aircraft additive manufacturing lattice structure smart material flexible structure flexible